Inshore Ship Detection in Multispectral Satellite Images

Date

2015-05-19

Author

Besbinar, Beril
Gürbüz, Yeti Ziya
Alatan, Abdullah Aydın

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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In this paper, a novel method is proposed for the detection of sea and inshore ships in satellite images which contain red, green, blue and near-infrared bands. For sea detection, an initial mask is obtained by thresholding the water index calculated using green and near infrared bands. At the second stage, models of sea and land learned via the initial mask are used in graph-cut method and a sea-land mask with high accuracy is obtained. Linear extension of the line segments on the sea-land mask boundary is aimed for the detection of inshore ships. For this purpose, line s

Subject Keywords

Remote sensing, Multispectral satellite images, Sea detection, Ship detection, Graph cut, Line segment merging

URI

https://hdl.handle.net/11511/53819

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

B. Besbinar, Y. Z. Gürbüz, and A. A. Alatan, “Inshore Ship Detection in Multispectral Satellite Images,” 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53819.